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Updated
Aug 7, 2025 - R
#
rectal-cancer
Here are 4 public repositories matching this topic...
scikit-learn clinical-trials lasso-regression colon-cancer blacklisting-filter unique-molecular-identifiers fragmentomics rectal-cancer limit-of-detection colon-adenoma rectal-adenoma detect-recurrence predict-relapse ultra-deep-sequencing tumor-agnostic-approach error-rates mutation-score dna-fragmentation-patterns detection-error-rates sensitivity-specificity
RectoMap is a deep learning pipeline for segmenting rectal cancer and mesorectum from T2-weighted MRI and predicting pathological complete response (pCR) after neoadjuvant therapy
deep-learning ensemble automatic-segmentation mri-segmentation torchio rectal-cancer nnunet u-mamba pcr-prediction
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May 14, 2025 - Python
deep-learning lung-cancer ovarian-cancer whole-genome-sequencing breast-cancer colon-cancer pancreatic-cancer early-detection fragmentomics fragmentation-patterns rectal-cancer gastric-cancer colon-adenoma rectal-adenoma bile-duct-cancer duodenal-cancer sub-clinical-disease dna-fragment-length identify-disease-stage early-detection-of-disease
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Aug 7, 2025 - R
MRI-based automatic segmentation of rectal cancer using 2D UNet on two independent cohorts
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Dec 8, 2021
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